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Bellrock Group

Data Analyst - Energy and Smart Engineering

London
Posted about 21 hours ago
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London | Hybrid

Role Overview

Bellrock Group’s Canary Lab is shaping the future of data-driven Facilities Management by turning building, asset and environmental data into actionable insights.

As an Analytics & Insights Analyst, you’ll analyse energy, BMS, asset performance, indoor environmental quality and FM data to identify risks, inefficiencies and opportunities.

Your insights will support smarter decisions, helping clients reduce costs and carbon, improve comfort and compliance, and extend asset life across major UK property portfolios.

Key Responsibilities

  • Produce accurate, timely and commercially relevant insights that help clients and operational teams make better decisions. Working closely with analysts, FM teams and technology platforms, you’ll validate and interpret data, turning it into clear recommendations and practical actions.
  • Analyse energy, BMS, IEQ, asset and FM operational data across multiple client portfolios.
  • Produce high-quality dashboards, reports, commentary and prioritised recommendations.
  • Support the development of Power BI reporting, insight summaries and performance narratives.
  • Identify trends, anomalies, risks and opportunities relating to energy use, asset performance, comfort and operational efficiency.
  • Translate complex findings into clear, action-focused insights for non-technical stakeholders.
  • Use platforms including Concerto, Power BI, Demand Logic, Tapp+, Clearworld, Pulse and Carrot, alongside IoT sensors and Bellrock’s remote Triage Bureau.
  • Work with FM teams, supply chain partners and the Bellrock Bureau to turn insights into operational action.
  • Escalate data quality issues and risks with clear evidence and recommendations.
  • Help improve analytics processes, dashboards, rules and automation.
  • Maintain strong data integrity, documentation and analytical governance.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Skills & Experience

  • Experience in analytics, data analysis or performance reporting within FM, property, energy, sustainability or operational environments (or strong transferable skills).
  • Familiarity with BI tools (Power BI preferred) and data analysis techniques.
  • Understanding of energy data, asset performance, BMS or FM data is advantageous but not essential.
  • Experience working with CAFM/IWMS, IoT, BMS or operational datasets is desirable.
  • Strong analytical thinking with the ability to interrogate data and challenge assumptions.
  • Confidence working with time-series and operational datasets and explaining results clearly.
  • Ability to balance detail with commercial relevance, focusing on what matters most to the client.
  • Willingness to learn new platforms, technologies and FM concepts in a fast-moving environment.
  • Collaborative mindset, working effectively with analysts, engineers, consultants and operational teams.
  • AI fluency & learning mindset: We are looking for people who actively use AI in their day‑to‑day work, demonstrate strong curiosity about new technologies, and take ownership for continuously improving how they think, work, and deliver.

Working arrangements

We embrace smarter working practices which offer our employees the opportunity to work their hours flexibly and remotely where their roles and business needs allow. In this role, the successful candidate would be required to work between the London office and your home address on a hybrid basis, Monday to Friday, 09:00-17:00.

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What can we offer you?

Upon joining Bellrock, you can expect a comprehensive benefits package including:

  • 25 days annual leave plus bank holidays + 1 additional day as a thank you (enjoy it, it’s on us)
  • Salary exchange pension scheme
  • Life cover
  • Paid sick leave
  • Health Assured employee assistance and wellness program
  • Enhanced maternity, paternity and adoption leave
  • Salary sacrifice schemes: Cycle to work
  • Holiday purchase scheme of additional 5 days per year
  • Offers and discount scheme designed to save money on everyday shopping and essentials
  • Healthcare Cashplan
  • MotorSave Scheme
  • Refer a friend
  • Liftshare
  • Virtual GP

Why Bellrock?

At Bellrock, our people make the difference.

We support organisations across the UK with property, facilities management, compliance, engineering and technology services, helping our customers create safer, smarter and more sustainable environments.

We're committed to creating a workplace where people feel supported, respected and able to develop their careers. If you're looking for a business where your contribution is valued and where you can continue to learn and grow, we'd love to hear from you.

Inclusion

We welcome applications from people of all backgrounds and experiences and are committed to providing a fair and accessible recruitment process for everyone.

Apply today.

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Skills

Data Analysis
Power BI
Energy Data Analysis
BMS Data Analysis
Performance Reporting
Dashboard Development
IoT Data Interpretation
Analytical Thinking
Stakeholder Communication
AI Fluency
CAFM/IWMS
Time-series Analysis

Location

London, England, United Kingdom

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